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Challenge Entry: CORE Contextual Reader

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Title: CORE Contextual Reader
Team: CORE

Short Description

CORE is a contextual reader application that utilizes configurable Linked Data vocabularies to support reading in unfamiliar domains. CORE works by providing the reader with e.g. descriptions, pictures, and maps of unfamiliar concepts. Serendipidous discovery of related knowledge is also supported by linking in resources from configurable repositories.

More Information

Credits: conceptual design by Thea Lindquist (University of Colorado Boulder) and Eetu Mäkelä (Aalto University), implementation by the latter.

Datasets and open APIs used:
Europeana, Digital Public Library of America, The European Library, English, Finnish and Latin Dbpedias, WW1LOD, 1914 – 1918 Online, Out of the Trenches, Trenches to Triples, WW1 Discovery, Pleiades, Pelagios datasets, Perseus Hopper, Bank of Finnish Terminology in Arts and Sciences, Semantic Finlex, SeCo Lexical Analysis Service

Project homepage (also including a longer description of the application): http://www.seco.tkk.fi/projects/core/
Open Source Distribution: http://github.com/jiemakel/core/

What’s next for the project: scientific end-user evaluation of the contextual reader, application to further domains (particularly the Republic of Letters), adding the ability to configure the reader for a new domain using a web application instead of forking the code.

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